UNEMPLOYMENT AND SOCIO-ECONOMIC GROWTH AMONG YOUTH IN LOCAL GOVERNMENTS IN : A CASE STUDY OF

DISTRICT.

NAMATA MARIAT

BSW/451 1311431DU

A RESEARCH REPORT SUBMITTED TO COLLEGE OF HUMANITIES AND SOCIAL SCIENCES IN PARTIAL FULFILMENT OF THE REQUIREMENTS

FOR THE AWARD OF THE BACHELOR’S DEGREE IN SOCIAL WORK

AND SOCIAL ADMINISTRATION OF

INTERNATIONAL UNIVERSITY

SEPTEMBER, 2017 Declaration I, Namata Mariat,hereby declare that the work presented in this research report is based on my own research, except where otherwise acknowledged and has never been submitted to any University or any Institution of)~9~r learning for a Degree or Diploma.

Researcher’s ~

Date: ~~ /2017

Namata Mariat

BSW/451 131143/DU Approval This is to certify that this research report has been done under my supervision and submitted to the College of Humanities and Social Sciences of Kampala International University Kampala, Uganda with my approval for examination.

Supervisor’s Name : MrsJ~ssiwaShamirah Signature ~

Date Dedication

I dedicate this research report to my dear parents Mr. Maj idu Kitenda and Mrs. Nakazibwe Udaya who worked hard to support me up on this research report and my studies in general, may the Almighty God bless them abundantly.

ill Acknowledgement

I thank the Almighty God for making it possible for me to complete this piece of work. Special thanks to Him for the knowledge, wisdom, courage and determination he has granted me.

I am particularly indebted to my supervisor Mrs. Nassiwa Shamirah for her timeless guidance and correction in the conduct of this research report. She really inspired, motivated and assisted me during the process of this work.

Further thanks to the management of for their support in providing me with the data and to the authors whom I have used their references in coming up with this report. Also to respondents who sacrificed their time in giving me relevant information that backed my research.

I am greatly indebted to my friends such as Nalubega Annet, Mugabi Gadaph, Kasse Hussein, Akatusime Noreen, Nakase Smaiya and Bwanika Hassan for their support, care and courage during my study. I am so grateful my dear parents. May God Bless them abundantly.

iv TABLE OF CONTENTS

Declaration i Approval ii Dedication iii Acknowledgement iv

List of Acronyms ix

Abstract x

CHAPTER ONE 1

INTRODUCTION 1

1.0 Introduction 1

1.1 Background of the study 1

1.2 Problem statement 2

1.3 Purpose of the study 3

1.4 Research objectives 3

1.5 Research questions 3

1.6 Scope of the study 3

1.6.1 Geographical scope 3

1.6.2 Subject scope 3

1.6.3 Time scope 4

1.7 Significance of the study 4

1.8 Conceptual framework S

CHAPTER TWO 6

LITERATURE REVIEW 6

2.0 Introduction 6

2.1 Concept of unemployment 6

V 2.2 Reasons for youth unemployment in Uganda 7 2.2.1 Systemic/Economic reasons for youth unemployment 7 2.2.1.1 Rural-urban migration 7 2.2.1.2 Skill mismatch between the education system and employers’ expectations 8 2.2.1.3 Lack of entrepreneurship and management skills 8 2.2.1.4 Limited access to financial capital 9

2.2.1.5 Inadequate job matching 9

2.2.1.6 Low level of aggregate demand for labour in the economy 10

2.2.2 Social/cultural reasons 10

2.2.2.1 Demographic development and population growth 10

2.2.2.2 Lack of parental guidance and career guidance at school 11

2.2.2.3 Corruption, nepotism and tribalism 11

2.2.3 Personal/individual reasons 13

2.2.3.1 Negative attitude of youth 13

2.3 Impact of youth unemployment 14

2.4 Ways of solving youth unemployment 15

CHAPTER THREE 17

METHODOLOGY 17

3.0 Introduction 17

3.1 Research Design 17

3.2 Target Population 17

3.3 Sample Size 17

3.4. Sampling techniques 18

3.5. Data sources 18

3.5.1 Primary data 18

3.5.2 Secondary data 18

vi 3.6 Data collection Instruments 19 3.6.1 Questionnaires 19 3.6.2 Observation 19 3.6.3 Interviews 19

3.7. Data analysis and presentation 19

3.7.1 Data processing 19

3.7.1.1 Data Editing 20

3.7.1.2 Data Coding 20

3.7.2 Data Presentation 20

3.7.3 Data analysis 20

3.8 Validity and Reliability of the Study 20

3.9 Ethical values 20

3.10 Limitations of the Study 21

CHAPTER FOUR 22

PRESENTATION, INTERPRETATION AND ANALYSIS OF FINDINGS 22

4.0 Introduction 22

4.1 Biographical data of respondents 22

4.1.1 Age groups of respondents 22

4.1.2 Gender of respondents 23

4.1.3 Level of education of respondents 23

4.1.4 Marital status 24

4.2 Reasons of unemployment among youth in Sheema District, Uganda 24

4.3 Impact of unemployment among youth in Sheema District, Uganda 28

4.4 Ways of solving youth unemployment in Sheema District, Uganda 30

VII CHAPTER FIVE .33

SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS 33

5.0 Introduction 33

5.1 Summary of findings 33

5.1.1 Reasons of unemployment among youth in Sheema District, Uganda 33

5.1.2 Impact of unemployment among youth in Sheema District, Uganda 36

5.1.3 Ways of solving youth unemployment in Sheema District, Uganda 37

5.2 Conclusions of the study 38

5.3 Recommendations 39

5.4 Areas for future research 39

REFERENCES 40

APPENDICES 45

APPENDIX A:SELF ADMINISTERED QUESTIONNAIRE 45

APPENDIX B:INTERVIEW GUIDE 48

APPENDIX C:ACTUAL STUDY BUDGET 49

VIII List of Acronyms AEO African Economic Outlook

AIDS Acquired Immune Deficiency Syndrome

E East

EAC East African Community

eg. for example given

FF Fontes Foundation

GDP Gross Domestic Product

HR Human Resource

i.e. that is

ICT Information and Communication Technology

ILO International Labour Organization

IYF International Youth Foundation

NGO Non-Governmental Organization

ON Omidyar Network

PRB Population Reference Bureau

S South

UBOS Uganda Bureau of Statistics

IJNCDF United National Capital Development Fund

UYONET Uganda Youth Network

WEF World Economic Forum

YAI Youth Action International

YBU YouthBuild Uganda

ix Abstract

The study was set to investigate Causes of Unemployment Among Youth in Sheema District Uganda. The study was based on the following three objectives; to examine the reasons of unemployment among youth; to examine the impact of unemployment among youth and to determine the ways of solving youth unemployment in Sheema District, Uganda. A sample of 80 respondents both females and male youth of Sheema District were selected for the study. The study employed a cross-sectional research design and methodology used was both qualitative and quantitative. Questionnaires ~and documentary review were the major tools of data collection.

In regard to reasons of unemployment among youth in Sheema District, Uganda; it was found out by majority of respondents, 50% strongly disagreed that youth in the district do not know where to find a job, majority47.50% agreed that youth dislike certain jobs, majority 6 1.25% strongly agreed that education of youth in the district is too theoretical, majority 58.75% agreed that youth have negative attitude towards work, majority 4 1.25% agreed that employers employ relatives who are less qualified than others, majority 36.25% and 46.25% respectively agreed or strongly agreed that there is too much corruption. In regard to impact of unemployment among youth in Sheema District, Uganda; it was revealed by the majority of respondents,42.5% agreed that being unemployed for a longer time leads to a lack of work experience and skills, majority57.5% agreed that unemployment among youth leads to reduced earnings, majority 45% of respondents strongly agreed that unemployment among youth leads to crime and violence amongst youth, majority 52,5% strongly agreed that unemployment among youth leads to commercial sex work, majority 50% strongly agreed that unemployment among youth leads to the spread of HIV/AIDS. In regard to ways of solving youth unemployment in Sheema District, Uganda; it was revealed by the majority, 43.75% strongly agreed that government should create more industries, majority 33.75% strongly agreed respectively that education system to be changed from theoretical to more practical, rnajority43.75% strongly agreed that youth should get a chance to get some experience in entrepreneurship, majority 37.5% of respondents strongly agreed that government should give training to youth and encourage them to work for their own businesses.It was recommended that;ILO member states should place much emphasis on developing skills, government and other stakeholders should put up a strong accountability mechanism, education system has to be changed from theoretical to more practical.

x CHAPTER ONE

INTRODUCTION

1.0 Introduction This chapter described background of the research study. It explored the problem statement, purpose of the study, research objectives of the study, research questions of the study, scope of the study, significance of the study and conceptual framework.

1.1 Background of the study In most African countries, including the Uganda, unemployment levels have continued to increase and have remained at extremely high levels (World Bank, 2015) despite considerable efforts to educate both children and adults. Globally youth unemployment was estimated at 12.6 per cent in 2013, and this has been pointed as a “crisis”. As many as 73 million young people are estimated to be unemployed in 2013 at the same time, informal employment among young people remains pervasive and transitions to decent work are slow and difficult. The economic and social costs of unemployment, long-term unemployment, discouragement and widespread low-quality jobs for young people continue to rise and undermine economies’ growth potential. Skills mismatch is adding to the youth employment crisis. Skills mismatch on youth labour markets has become a persistent and growing trend. Over education and over-skills coexist with under education and under-skills, and increasingly with skills obsolescence brought about by long-term unemployment. Such a mismatch makes solutions to the youth employment crisis more difficult to find and more time consuming to implement (ILO, 2013).

Unemployment affects youth to a greater extent than adults; regional youth unemployment rate in Sub-Saharan Africa is lower than in most other regions and it is significantly higher than the adult unemployment rate. Youth unemployment rates much higher than the regional average are found in South Africa, where over half of young people in the labour force were unemployed in the first three quarters of 2012 (ILO, 2012 and 2013). According to a survey carried out by ActionAid and the Uganda National NGO Forum, unemployment rate among young people in Uganda is 61. 6 percent in 2012 (ActionAid, 2012). According to the World Bank, the Ugandan unemployment rate was more or less stable at around 4percent over the last four years, which would put Uganda on a similar level with countries like Switzerland or Austria (World Bank, 2015). The unemployment rate measured by the Ugandan Bureau of Statistics (UBOS) in 2010 comes to a similar number (4.2percent) and the “Global

1 Employment Trends 2014” of the International Labour Organization (ILO) comes up with an even lower number (3.9percent) for 2013 (ILO, 2014).

According to UNECA (2010), “youth” are defined as people between 15 and 39 years of age. However, Ghana, Tanzania and South Africa define the youth population as those between 15 and 35 years of age; Nigeria and Swaziland define it as those between 12 and 30 years; and Botswana and Mauritius define it as those between 14 and 25 years. In Uganda, the International Youth Foundation defines “youth” as all persons between 15-29 years old (International Youth Foundation {IYFj, 2016).

In Uganda youth unemployment rates stand in sharp contrast to surveys that have been carried out over the last couple of years regarding youth unemployment. A survey carried out in 2012 by ActionAid, the Development and Research Training and Uganda National NGO forum showed that 61 .6percent of the 1100 asked youth in 11 districts of the country answered that they are unemployed (ActionAid, 2012). UBOS (2013), pointed out that youth unemployment rate of 2013 was 1 8percent for youth aged 15-24 and l6percent for youth aged 24-30.

Given the fact that most youth in Sheema District is falling into the youth bracket between 15-29, most youth have skills and qualifications required but they are unemployed. These have been found occupying urban areas of Sheema District most involved in prostitution activities, stealing, betting, playing cards on a daily basis (Kakooza, 2015). Therefore, it is due to this high rate of unemployment in Uganda that has prompted the researcher to carry a study on causes of unemployment among youth in the local .

1.2 Problem statement The Republic of Uganda has one of the fastest growing populations in the world. The high population growth rate as well as the high fertility rate led to today’s situation where more than S0percent of the population is below the age of 18.

As a consequence of this high population growth, youth unemployment has risen sharply over the last couple of years. According to a survey carried out by ActionAid and the Uganda National NGO Forum, the unemployment rate among young people in Uganda is 61.6 percent in 2012 (ActionAid, 2012). Given the fact that more than S0percent of the population is below 18, the amount of unemployed people in Uganda is enormous. This can and will most likely have destabilizing and disturbing effects on the economy as well as the society at

2 large of the country in the foreseeable future, as the youth is very often at the source of revolutions and political turmoil, of which the Arab Spring is just one example (ILO, 2013).

But the high growth rate of the Ugandan population is not the only possible reason for the increased number of youth being unemployed. General poverty, an outdated education system and corruption are only some of the reasons that are often mentioned in connection with youth unemployment in Africa, and more specifically in Uganda (ActionAid, 2012). Though, youth livelihood fund that were rendered to youth of Sheema District, it has been embezzled and despicably insufficient an issue that had continuously increased unemployment among youth of Sheema District (Kakooza, 2015). Therefore, this enormous problem can be a threat to the political and economic stability of the whole country.

1.3 Purpose of the study The study examined the causes of unemployment among youth in Uganda taking Sheema District as a case study.

1.4 Research objectives i. Examine the reasons of unemployment among youth in Sheema District, Uganda. ii. Examine the impact of unemployment among youth in Sheema District, Uganda. iii. Determine the ways of solving youth unemployment in Sheema District, Uganda.

1.5 Research questions i. What are the reasons of unemployment among youth in Sheema District, Uganda? ii. What is the impact of unemployment among youth in Sheema District, Uganda? iii. How can youth unemployment be solved in Sheema District, Uganda?

1.6 Scope of the study

1.6.1 Geographical scope The study was based in Sheema district, Uganda. Sheema District is bordered by to the north, District to the east, to the south, to the southwest and to the west. Kibingo, where the district headquarters are located. The coordinates of the district are:00 32S, 30 24E.

1.6.2 Subject scope The study concentrated on the reasons of unemployment among youth in Sheema District, Uganda; impact of unemployment among youth in Sheema District, Uganda and the ways of solving youth unemployment in Sheema District, Uganda. 3 1.6.3 Time scope The study traced the phenomenon of youth unemployment in Uganda from 2010-2015 since unemployed youth rate increased in that period, and was conducted in 3 months that is from March to June 2017 within which one month was spent on proposal writing and two months on data analysis, report writing and presentation.

1.7 Significance of the study The study is to provide valuable information to governments and other policy makers to focus on youth employment and empowerment as a means of poverty reductions in line with the government’s long term development plan as captioned in the vision 2040 document. This study may make a significant contribution to various attempts by government, NGO’s and other stakeholders including the local districts in finding lasting solutions to the problems facing the unemployed youth. The responses this research generates are intended to encourage the local districts to roll out interventions that may help the youth to set up their own businesses and manage them effectively. This may create more jobs and help to improve the economy and reduce rural- urban drift. This study may also add to the lot of concerns being raised on youth unemployment, map out the unique nature of the problem as it pertains in the study area and arouse further discussion on the subject. The study findings may also be of practical significance to both academicians and general practitioners by providing a better insight into the understanding of the causes of unemployment among youth in local districts.

The findings may also add on the knowledge and act as a ground for further research in the same area.

4 1.8 Conceptual framework Independent Variable Dependent Variable Youth Unemployment Causes Unemployment Outcomes Rural-urban migration

Skill mismatch ]—* Reduced earnings

Lack of entrepreneurship and Reduced purchasing power management skills ______Low Growth Domestic Product

Limited access to financial _____ Increased crime rates capital Spread of HIV/AIDS

Inadequate job matching Drug abuse

Less foreign direct investments Corruption, nepotism and _____

tribalism ______

Negative attitude of youth

Source: Adapted from Fontes Foundation (2014)

5 CHAPTER TWO

LITERATURE REVIEW

2.0 Introduction This chapter focused on views of previous authors which among others covered the concept of unemployment, reasons for youth unemployment in Uganda, negative impacts of youth unemployment and ways of solving youth unemployment in Uganda.

2.1 Concept of unemployment Unemployment is defined as a situation where someone of working age is not able to get a job but would like to be in full time employment. O’Higgins (1997) define unemployment as a multidimensional concept which involves economic, politic and social dimensions. It is a difficult concept to define and measure since it depends on the economy of the areas, social settings, and culture and education system. According to the International Labour Organization (ILO, 2013), unemployment refers to those people who have not worked more than one hour during the short reference period but who are available for and actively seeking work. According to McGurK, S. (2014), defined unemployment as the number of people in a country who are willing and able to work but are unable to find jobs.

According to Amoafo (2011), the definition of unemployment has since 1954 been periodically revised, its basic criteria however, remain intact, i.e. a person is to be considered unemployed if he/she, during a reference period, simultaneously satisfies being: a) “without work” b) “cuffently available for work”, and c) “seeking work”. International Labour Organisation (ILO, cited by Oben-Tarkornoo, 2009) defines unemployment as the numbers of the economically active population who are without work but available for and seeking work, including people who have lost their jobs and those who have voluntarily left work. According to these definitions, the term does not refer to people who are not seeking work because of age, illness or a mental or physical handicap, nor does it refer to people who are attending school or keeping house. Such people are classified as out of the labour force rather than unemployed. Lipsy (1989) shares a similar view that lazy people, the underage, the retired and the physically challenged who by virtue of their conditions are not seeking jobs cannot be classified as unemployed.

6 2.2 Reasons for youth unemployment in Uganda Reasons for youth unemployment are related to the political and economic realities in the country, while others are rooted in the social and cultural circumstances in Uganda or have to be analysed on the individual level.

2.2.1 Systemic/Economic reasons for youth unemployment

2.2.1.1 Rural-urban migration Rural-urban migration is an often mentioned cause for unemployment and youth unemployment in particular. Most developing countries are facing rapid urbanization over the last 3 0-40 years with the trend continuing into this direction. While only 6.7percent of the Ugandan population was living in urban areas in 1980, there were already 14.8percent in 2010 (Mukwaya et al, 2011). The growth rate of urban areas was almost twice as high over the last 20 years than the growth rate of rural areas. If one takes into account the agglomeration of urban areas, e.g. areas that are semi-urban and that are located at the outskirts of urban centres like Kampala, the urban population increased from 22.4percent in 2002 to 29.3percent in 2010. Given the fact that this trend seems to continue, it can be assumed that around one third of today’s population in Uganda is living in an urban area (Mukwaya et al., 2011).

The major reason for this ongoing rural-urban migration are economic motivations. People living on the country side are trying to escape the lower standard of living in rural areas to find employment and a better life in urban centres. This then leads to an over-supply of labour on the job market in urban areas, as the economy cannot absorb all the new job seekers that are leaving rural areas and are trying to find employment in the urban areas.

This is especially relevant and problematic for youth, as youth migration is three times as high as other migration in Africa according to the UN (Chigunta, 2002). The consequences of rural-urban migration are also more serious for youth as through the over-supply of labour, employers are in the position to become more selective when hiring people, therefore employing more experienced people first, which are normally not the youth. The result is that a lot of youth remains unemployed and is stuck in an urban area as they lack the economic resources to go back home or if they are too ashamed to go back because they failed in their endeavour.

7 2.2.1.2 Skill mismatch between the education system and employers’ expectations The mismatch between the type of education provided at schools and the requirements of the labour market is a reason that has been both mentioned by the academic literature (Chigunta2002, Haile 2003, ILO 2012, Kellow 2010). It has been stated that the Ugandan (or more general the “African”) school system is far too theoretical and is not preparing the students in an adequate way to find ajob after graduation as they lack employable skills, even though the job falls into their field of studies (ILO 2012). According to Haile (2003), he observed in his research, a lot of the unemployed youth in urban areas went through the best education system that a country like Uganda can provide which is a sign that the education and skills provided at school is not relevant enough for employers Haile (2003). Kellow (2010) comes to a similar conclusion as he shows that an increase in education (e.g. high school or higher) comes with higher unemployment rates for this youth. As Peter (2013) points it out appropriately, high schools and universities are like “exam factories, concentrating their energies on securing passes at A grade in exams and have given too little attention to the labour market requirements” (Peter, 2013).

2.2.1.3 Lack of entrepreneurship and management skills A lot of small businesses have started up just recently and this shows that there is definitely a spirit of entrepreneurship amongst the people in the neighbourhood of the youth centre as well as that the market is quite dynamic (Fontes Foundation [FF], 2011). This finding gets supported by International Entrepreneurship, which states that the percentage of individuals ages 18 to 64, which are active in either starting up or managing a new enterprise is 29.3percent (International Entrepreneurship, 2015), which is a considerably high number. While the entrepreneurship spirit is present in Uganda, the capability and skills of the youth to be successful entrepreneurs are lacking though. According to the Omidyar Network’s “Accelerating Entrepreneurship in Africa” report from 2013, the overwhelming majority of entrepreneurs in Africa thinks that there is an inadequate focus within schools and tertiary institutions on the practical skills required to start, manage or work in entrepreneurial ventures (Omidyar Network [ON], 2013). On the one hand, there is a lack of a culture of innovation in most schools and universities, which expresses itself in the lack of entrepreneurship centres as well as specialised courses in entrepreneurship or innovation and technology. Therefore, students feel inadequately prepared for opening up their own businesses and prefer to work in employment. Another problem is the lack of business culture amongst entrepreneurs (Omidyar Network [ON], 2013).

8 2.2.1.4 Limited access to financial capital The very limited access to financial capital is another reason for unemployment and in particular youth unemployment that gets mentioned ofien in the literature. Both the International Labour Organization (ILO) on an international level and the Uganda Youth Network (UYONET) on a national level recognise that the lack of capital is an important explanation for youth unemployment (ILO, 2012; Uganda Youth Network [UYONETJ, 2010).

According to the UN Capital Development Fund (UNCDF), the youth is mainly facing three barriers when trying to access and use formal financial services in developing countries: Restrictions in the legal and regulatory environment, inappropriate and inaccessible financial products offered by financial service providers (FSP5) and poor financial capabilities of the youth (UN Capital Development Fund [UNCDF], 2012). Restrictions in the legal and regulatory environment include the requirement of a minimum age to open an own bank account or td’ get access to loans as well as the requirement of identification documents. In cases where adolescents are allowed to have their own bank account, they need the legal authorization from their parents or guardian to open it and to withdraw money, which takes away flexibility and independence from the youth and expose them to the threat of getting money taken away from those adults. Some FSPs might even increase the requirements on a voluntary basis as youth is considered a high risk group of customers (UNCDF, 2012).

In Uganda, where the legal age for bank accounts is 18 and younger clients need the authorization of their legal guardian. Another major problem is that the biggest part of the population in the country does not have a valid identification document like a national ID, a driving license or a birth certificate. Because of this, a lot of people especially youth as they are often lacking the money to get such documents have no chance to get financial capital for their studies or to open up their business (IJNCDF, 2012).

2.2.1.5 Inadequate job matching According to reports of ILO, inadequate job matching i.e. information gap between youth and employers is indeed a problem that unemployed youth is facing, especially the disadvantaged one (ILO, 2012). There is a lack of information flow between the job seekers and hiring employers in a lot of African countries (African Economic Outlook, 2012). This is especially apparent for youth with little education as they seem to know less about where to look for jobs and therefore need more help finding one. This again causes a challenge as it has been shown that job search assistance works mainly for individuals with sufficient education and 9 better labour market prospects (African Economic Outlook [AEOJ, 2012). Another barrier that the youth is facing in this regard is that a lot ofjob seekers are unable to communicate or signal their level of skills to a potential employer (ILO, 2012). A possible explanation for this is the poor qualification framework existing in a lot of African countries which leads to the outcome that employers are not able to read and understand diplomas and certificates. Those findings match the current situation of youth in Uganda, especially the disadvantaged ones coming from a poor background who have weaker access to job networks and social capital (ILO, 2012).

2.2.1.6 Low level of aggregate demand for labor in the economy As a lot of scholars and international organizations are claiming (e.g. Chigunta 2002, ILO 2012, Haile 2003, Kellow 2010), it is not enough to just look at the supply side of labour (employees that are offering their work force) when discussing unemployment, but also at the demand side of labour (employers looking for work force for their economic activities). Especially in phases of economic downturn or slow economic growth, the demand for labour is reduced as the economic performance is slowing down, accompanied by low levels of private sector investment, insufficient trade dynamism and less start up activity (ILO, 2012). But the situation gets particularly difficult for youth, as they are often found at the end of the “job queue”: Employers are discriminating against the inexperienced youth in the face of relatively abundant adult labour, so that it is especially difficult for youth to find ajob in such times (Haile, 2003).

2.2.2 Social/cultural reasons

2.2.2.1 Demographic development and population growth The high population growth is very often considered a major factor for youth unemployment on the macro level of African countries (e.g. Kellow, 2010, Young Leaders Think Tank, 2010, East African Community, 2015, WEF, 2013, Haile, 2003). The population in Sub Saharan Africa is growing massively due to the very high fertility rates. It has been shown that Uganda is one of the fastest growing and most fertile countries in the world, which means that this problem especially affects this country (Haile, 2003).

The trend into this direction will most likely continue during the next 3-4 decades according to today’s predictions. According to the “World’s Population Data Sheet 2013” from USAID’s Population Reference Bureau, Uganda will face a population of 114 million people in 2050 (Population Reference Bureau [PRB], 2013). This means that more and more youth

10 will flow into the Ugandan labour market, either looking for employment or trying to become self-employed.

This does not have to be something negative per Se, as a growing population is an important factor for economic growth and development according to classic economic theories (Au et al. 2013). But the growing population and as a result of it, the growing percentage of people in a population looking for a job has to be absorbed by the economy of the country, meaning that the economy has to grow fast enough to create enough jobs for all those new job seekers. But whenever the rate of population growth (supply of labour) exceeds that of economic growth (demand for labour), the unemployment rates will increase (Nnadozie, 2003).

2.2.2.2 Lack of parental guidance and career guidance at school The lack of parental guidance (both in relation to a youth’s career but also in general) has been mentioned as important reason for youth unemployment as a lot of Ugandan parents produce too many children so that they cannot properly take care of them, especially when it comes to paying the fees for education (Fontes Foundation, 2014). In Ugandan children do not get the chance to develop and practise the abilities where there are good at. Certain activities (like playing music instruments and dancing) are considered a waste of time in the eyes of the family and would have never been allowed to focus on educational and professional training (Fontes Foundation, 2014). As the parents are paying for the education of their children, they decide what is best for them and send them to study law or ICT as they think that this is more promising to make a living according to their knowledge, regardless of the interests of their children (Fontes Foundation, 2014).

According to Wadesango et al, (2011), concluded that a lot of parents or guardians do not show responsibility towards their children. The parents also do not seem to care where their kids are spending their time and (almost more importantly) with whom. The youth also has a lack of role models as their parents are very often misbehaving and fighting with each other and also do not interfere when their children are behaving in a bad way by fighting with other children or even being involved in criminal activities like theft (Wadesango et al., 2011). Parents also think more and more that it is the educator’s duty alone to discipline their children and to educate them properly.

2.2.2.3 Corruption, nepotism and tribalism In Uganda, it is all about connections when applying for a job. What is deterring if you get a job are not your qualifications or your degrees and certificates but if you know the person

11 which is in charge of the recruitment process (Fontes Foundation, 2012). This has the effect that very often, unqualified people end up getting a job, even though there would have been a candidate which is more suitable. There seemed to be a high level of frustration with such practices among youth. Youth without those important social connections will get discouraged after too many negative experiences to apply for further jobs as they get the impression that all employers are the same (International Youth Foundation, 2011).

Also according to International Youth Foundation (2011). there is much tribalism, especially in government jobs. International Youth Foundation, (2011) claim that being affiliated with a certain tribe determines if you get a job in the government administration or not. According to Transparency International (2015), Uganda is ranked 142 out of 175 countries among the corrupt countries in the world. Uganda steadily dropped further down over the last couple of years from rank 127 in 2010 to where it is today. In the Global Corruption Barometer 2013, 55percent of the Ugandans asked replied that corruption has increased a lot over the past two years.

The reoccurring top level corruption scandals like the one at the office of the prime minister in 2012, where 10 million Euros destined for a development program were diverted to private accounts, was another sign that corruption is highly present in Uganda (Transparency International (2014). This incident also had serious financial consequences for the government’s development programs, as several big donor countries (amongst others the UK., Denmark, Ireland and Norway) had suspended their development aid payments to Uganda completely because of this incident (Al Jazeera, 2012). Even though a big chunk of this money is not ending up at the youth anyway because of corruption, state-financed youth development programs in Uganda are experiencing a lack of funds, and the youth on the ground is finally suffering the consequences in the end.

Regarding tribalism, The Independent, a Ugandan newspaper, made a survey of the 425 top government appointments in the Ugandan government (e.g. ministers, permanent secretaries, presidential advisors as well as the top leadership of the police, the army and the prison authority) and found evidence for the ongoing tribalism under the Museveni government. Out of the 425 positions, 181 are held by people from Western Uganda, Museveni’s place of origin. 107 positions are held by people from the Central region (which are mainly Baganda, the biggest tribe in Uganda), leaving only 68 positions for the North and 69 positions for the East (The Independent, 2014). The survey revealed that the people from the West are not only the head of those institutions, but that they also have the largest share of the top jobs in 12 all the surveyed entities. The president, who is in charge of those appointments, justify this by claiming that people from the West have supported him most in his bush war struggles in the 70’s and 80’s, which sounds like a justification for tribalism that should not count anymore after 30 years (The Independent, 2014). These allegations get reinforced by Roger Tangri and Andrew Mwenda in their case study of corruption in Uganda by claiming that the president is upholding his political power through the allocation of public positions and resources to keep leaders and state officials together, personally appointing family members and tribesmen for public office and shielding his supporters against the persecution of corruption (Tangri&Mwenda, 2013).

According to Osalor (2011), though nepotism is not a direct reason for youth unemployment, it rather leads to a suboptimal and inefficient allocation of jobs in the end. He added that somebody gets employed, even though the person was not the most suitable for the position. Thus nepotism has an indirect effect on youth unemployment as it discourages a lot of youth to look for jobs, therefore keeping them unemployed. Corruption also leads to a misallocation of entrepreneurial talent into activities that carry individual benefit, but has destructive or unproductive consequences for society at large (Osalor, 2011).

2.2.3 Personal/individual reasons

2.2.3.1 Negative attitude of youth Very often youth have a negative attitude towards work, which expresses itself in general laziness (to find a job and to work), a lack of motivation to work, a lack of ambition and self- drive to achieve something and the lack of a clear vision for life (YAI, 2011 and YBU, 2014). According to (YAI, 2011 and YBU, 2014), youth become too picky regarding certain jobs.

They all want to work in offices to avoid hard physical labour. youth are looking for quick money without making an effort which is why they are turning towards sports betting, which is a huge social problem in Uganda (YAI, 2011 and YBU, 2014). Therefore, a lot of youth in Uganda and also in Africa, still have the mentality “of being given instead of working for themselves and earning a living which had always resulted into the hand ~that begs!” (YAI, 2011 and YBU, 2014).

According to FF (2011), concluded that there was a strong trend among employers that the youth today are lazy and not willing to work hard. They lack a vision, motivation and interest in life, and all they think about is money (FF, 2011). Being a professional employee or doing a good job is not motivation enough for the youth, they lack an intrinsic motivation, and the

13 employers have to find other ways (mostly monetary one’s) to motivate their young staff(FF, 2011).

According to Fred Muwema, a popular and successful lawyer in Kampala, Uganda, is not only accusing the youth of this negative behaviour, but the overall population of Uganda. He claims that “unfortunately, this negative attitude is deeply ingrained in our socio-cultural min&set” (, 2011). According to him, a positive attitude towards work is as important for productivity as other economic factors like capital, raw materials or technical capabilities. Merely equipping youth with technical business skills and capital will not create jobs for the youth unless they gain a proper attitude towards the efficient management of time, resources, expectations and failure (Daily Monitor, 2011).

2.3 Impact of youth unemployment According to Sarah Ayres (2013), youth unemployment creates negative long term effects for both the individual youth as well as for a country as a whole. Being unemployed for a longer time at a young age leads to a lack of work experience and skills gathering during this time, which will lead to reduced earnings over the whole career of a person. Those reduced earnings lead to reduced purchasing power of those youth during all their lives, which again has a negative impact on the overall economy and aggravates the problem of youth unemployment even further as the economic growth of a country is reduced (Ayres, 2013). Especially in Uganda’s case (large number of youth and large youth unemployment), this could have strong negative effects on the economic development of the country in the short, middle and long run. According to Ayres (2013), youth unemployment also creates additional costs for the government as it has to deal with consequences of youth unemployment like increased crime rates or increased welfare payments. Even though Ayres’ study has been made for the US, its findings are also valid for a country like Uganda.

Another very relevant negative consequence of youth unemployment is its effect on political stability. In their quantitative research, Azeng and Yogo come to the conclusion that youth unemployment has a significant negative effect on the political stability in countries, especially developing countries (Azeng&Yogo, 2013). This is especially true in countries with a high youth unemployment rate like Uganda.

The East African Community mentions a number of negative effects of youth unemployment in its report “Meeting youth unemployment head on”. Crime and violence amongst youth, commercial sex work and as a result of that, the spread of HIV/AIDS, drug abuse and civil

14 disorder are direct consequences of the youth unemployment all over Sub-Saharan Africa according to the EAC (East African Community [EACj, 2015). Those illicit activities bring considerable economic and social costs (e.g. increased health costs, increased costs for security and increased level of insecurity, less Foreign Direct Investments (FDI’s), waste of productive human resources, etc.) upon a country on all levels, including individuals, families, the government and society at large.

2.4 Ways of solving youth unemployment Conclusions by the World Economic Forum [WEF] (2013) revealed that to fight youth unemployment, ILO member states should place prime emphasis on the generation of employment, in particular to meet the challenges of creating sufficient jobs in developing countries such that by the year 2040 and thereby achieve full employment. It was noted that social policies should be designed to increase welfare of people especially youth and women since they constitute the bottom ladder in many developing countries in respect to employment, poverty, education, training and status and the conference recommended that special emphasis should be placed on developing skills education development and employment of youths and women and on integrating them into the economic and civic life of that country. The conference specifically recommended that there is need for abolition of every kind of discrimination as regards the right to work, employment, vocational training and guidance. promotion of employment and access to skilled jobs.

According to Ssenkumba (2010) the action to combat youth unemployment is to establish youth clubs all over the country as a means which the state has to adopt in the drive against youth unemployment. The intention of these clubs is to provide education and social services and aim at discouraging visiting unsuitable places and hanging on streets. Ssenkumba (2010) explained that these clubs do not offer professional training but can produce alternative solutions to the youth with no specific skills. In the end, the members in these clubs would return to their villages or outskirts of towns where it is hoped with financial assistance from state institutions, they would become good peasants, stock farmers or craftsmen or even grow into business owners.

Sharon Nakandha (2011) suggests that in Uganda, we need a comprehensive solution to unemployment. She appreciates government’s efforts in dealing with the problem of youth unemployment like introduction of the Youth Entrepreneurship Venture Capital Fund (YEVCF) and assistance to Enterprise Uganda to run a Youth Entrepreneurial Training Programmes (YETP) among the youth. Sharon stressed that indeed these are necessary 15 projects since the 2008 World Bank Report revealed that Uganda is among the countries with the youngest population and a high rate of youth unemployment rate of 83 percent. However, Sharon Nakandha (2011) is critical of the manner in which government throws money in this project without a comprehensive evaluation system. She advised that Ministry of Finance and other stakeholders should put up a strong accountability mechanism to ensure that the funds allocated to reducing youth unemployment in the country actually serve this purpose. According to Sharon Nakandha (2011), stressed that Government has in the past tried to come up with progressive plans and programmes but many have collapsed due to mismanagement by certain individuals who in most cases go unpunished, and these youth unemployment schemes should not be politicized as has been the case with some government programmes.

According to Maria Kiwanuka, (2011), the Finance minister stressed that in a bid to reduce youth unemployment, her ministry will work with the Ministry of Education will review the education curriculum and include entrepreneurship and basic business management skills in the early years of education. She explained that in the budget for financial year 20 11/2012, a Youth job scheme had been introduced and allocated funding totalling to 44billion shilling where according to her 22billion will be channelled through the YEVCF to support the youth who are starting or expanding their enterprises, 3.5billion to equipping the youths with business management skills to get jobs or create their own businesses, that shilling ibillion is meant to equip youths with skills through non-vocational training and l7billion to offering work spaces in markets for youths to engage in manufacturing and processing.

16 CHAPTER THREE

METHODOLOGY

3.0 Introduction This chapter described the procedures that were followed in conducting the study. These included research design, target population, sample size, sample techniques, data sources, data collection procedure, data presentation and analysis, validity and reliability and ethical values.

3.1 Research Design The researcher useda cross-sectional research design so as to collect qualitative data about the variable under study. The study also employed exploratory design using both qualitative and quantitative tools. The qualitative tool was used to give insight vividly on institutional characteristics, opinions, beliefs, feelings and perceptions of respondents on the topic of interest. The quantitative research technique was basically used because of the desire to solicit and present data numerically.

3.2 Target Population The population of the study involved a total of 100 youth. This study concentrated on those youths between 15 to 29 years who have not worked more than one hour during the short reference period but who are available for and actively seeking work in Sheema District as defined by the International Youth Foundation [IYF] (IYF, 2016).

3.3 Sample Size The researcher used Slovene’s formula in determining the minimum sample size. According to this formula, the sample size was obtained using n = 1+~ie2

Where, N is the target population, n is the sample size and e is the level of statistical significance and in this study is 0.05.

N 1 + Ne2

100 n = 1 + 100(0.05)2

100

= 1.25

17 n = 80

Therefore, 80 respondents were selected for the study.

3.4. Sampling techniques The researcher used purposive sampling to get the required information from those youths between 15 to 29 years who have not worked more than one hour during the short reference period but who are available for and actively seeking work in Sheema District. Purposive sampling technique is a sampling technique where the elements in the sample will be selected from the population because they conform to a certain characteristic that the researcher is looking for. This will be based on the researcher’s judgment in as far as the purpose for which the information is sought. The researcher used purposive research design because it’s a more representative sampling technique of typical conditions in the survey. The researcher employed purposive sampling technique when selecting the participants from a variety of participants.

3.5. Data sources The researcher employed both primary and secondary data sources.

3.5.1 Primary data Primary data is data gathered for the first time by the researcher; or is originated and is collected specifically for the problem under investigation. According to Roston (2001), primary data is that kind of data that has been gathered for the first time, it has never been reported anywhere. Primary data for this study was collected using questionnaires. The primary data was sourced from youth of Sheema District.

3.5.2 Secondary data Secondary data is data taken by the researcher from secondary sources, internal or external. Roston (2001) defines secondary data as that kind of data that is available, already reported by some other scholars. Secondary sources are “books and articles in which other researchers report the results of their research based on (their) primary data or sources.” This data was collected from existing literature of authors that have written about the variables. Secondary data for this study was from policy documents, abstracts of various scholars and archived reports.

18 3.6 Data collection Instruments

3.6.1 Questionnaires These are self-administered questions that are both structured and semi structured formalized questions used in the survey to collect information which is later analysed to provide results necessary for solving a given research problem. The researcher used self-administered questionnaires. These allowed respondents to choose from alternatives that were provided by the researcher.

3.6.2 Observation This is a systematic viewing coupled with consideration of the seen phenomenon as they occur in nature with regard to cause and effect mutual relationship. The researcher used this instrument to observe the attitudes of respondents towards the topic being researched on.

3.6.3 Interviews The researcher used formal interviewing as a method of data collection and the interviewees were offered a chance to explore topics in depth and allow interaction between the researcher and the respondents such that any misunderstanding of the questions and answers provided was easily corrected. The researcher interviewed those youths between 15 to 29 years who have not worked more than one hour during the short reference period but who are available for and actively seeking work in Sheema District using the interview guide. This was used to tap the vital information that was not collected using the questionnaires from those youths between 15 to 29 years who have not worked more than one hour during the short reference period but who are available for and actively seeking work in Sheema District.

3.7. Data analysis and presentation

3.7.1 Data processing Data was collected by use of data collection tools and was edited to ensure accuracy, consistence and completeness. After collection of data, it was coded, tabulated with figures and percentages for better and easy analysis of the causes of unemployment among youth in local district of Sheema. Coding and abbreviations were used during data processing to avoid monotony of words.

19 3.7.1.1 Data Editing The collected data was edited for accuracy, completeness. Editing was done to find out how well the answered questionnaires were done in line with consideration paid to questions and responses from interview guide answered by the study respondents.

3.7.1.2 Data Coding The edited data was coded. Coding involved assigning numbers to similar questions from which answers were given unique looks to make the work easier. In this case computer packages were used to analyse the coded data.

3.7.2 Data Presentation After editing, the results were tabulated in terms of frequency, percentages and cumulative percentages for interpretation.

3.7.3 Data analysis Data collected from the field from the respondents was analyzed using a Statistical Package for Social Sciences (SPSS), which helped to show data in percentages as well as absolute terms for ease of comparison of causes of unemployment among those youths between 15 to 29 years who have not worked more than one hour during the short reference period but who are available for and actively seeking work in Sheema District. The responses were got by use of questionnaires then were compared and analyzed together. Qualitatively, data was analyzed and presented in themes of the research objectives using Microsoft Word and Excel computer packages to produce quantitative information in form of percentages and tables. This ensured completeness and correctness in achieving the set purpose and objectives.

3.8 Validity and Reliability of the Study The validity of the results obtained from a sample focuses on the extent to which they satisfy their ultimate purpose. The content validity was ensured by submitting the research designed questionnaire to an expert in my field to judge whether the instrument was valid or invalid. The data obtained from the respondents was doubly checked to ensure its accuracy and were processed for analysis. The data was edited, coded for completeness and processed using the Statistical Package for Social Scientists (SPSS) version 17 for the purpose of summarizing it.

3.9 Ethical values Before commencing the research, an introductory letter from the College of Humanities and Social Sciences, Kampala International University was sought and the purpose of the study

20 was explained to the authorities to avoid inconveniences and misunderstandings about the purpose. The information collected was kept highly confidential.

3.10 Limitations of the Study There are various limitations to this study that threaten the research validity. To address this, issue the researcher will claim an allowance of 5% margin of error at 0.05 level of significance. Measures are also indicated in order to minimize, if not to eradicate the threats to validity of the research findings of the study.

There will be attritionlmortality in that not all questionnaires may be returned completely answered yet some may even fail to be retrieved back due to circumstances on the part of the respondents such as travels, sickness, hospitalization and refusal/withdrawal to participate. In this case, the researcher will receive more respondents by exceeding the minimum sample size. The respondents will also be reminded not to leave any item in the questionnaires unanswered and will be closely followed up as to the date of retrieval.

The research instruments on the study are not standardized. Therefore, there will be validity and reliability test done to produce a credible measurement of the research variables of the study.

During the administration of the questionnaires, the research assistant can bring about inconsistency in terms of time of administration, understanding of the items in the questionnaires and explanations given to the respondents. Therefore, to minimize this threat, the research assistant will be oriented and briefed on procedures to be done in data collection.

21 CHAPTER FOUR

PRESENTATION, INTERPRETATION AND ANALYSIS OF FINDINGS

4.0 Introduction Under this chapter the researcher presented, interpreted and analysed the findings. The researcher followed the objectives of the study to help in making a thorough analysis. The researcher used tables to present and analyse the findings.

4.1 Biographical data of respondents The biographical data of both female and male youth of Sheema District were considered to be significant in terms of evaluating causes of unemployment among youth in the local districts of Uganda. The biographical data consisted of age, gender, marital status and educational level.

4.1.1 Age groups of respondents

Table 4.1: Age groups of respondents Age Frequency Percent Under 20 10 12.86 21—30 24 30.00 31—40 24 30.00 41—50 15 18.57 51—60 6 7.14 61 and Above 1 1.43 Total 80 100.00 Source: Primary Data, 2017

During the field study, it was found out that the biggest percentage of respondents were in age bracket of 21—30 and 3 1-40 years as shown by 30.00%, 18.57% were of 41—50 years, 12.86% were of less than 20 years, 7.14 % were of 5 1—60 years and 1.43% was of 61 and above years. This implies that respondents in age bracket of 3 1-40 & 2 1—30 years actively participated in the study. This implies that these groups have relevant ideas on answering the questionnaire presented to them well.

22 4.1.2 Gender of respondents

Table 4.2: Gender of respondents Gender Frequency Percent Male 69 85.71 Female 11 14.29 Total 80 100.00 Source: Primary Data, 2017

During the field study, it was found out that the biggest percentage of respondents were males as shown by 85.7 1% whereas 14.29% of respondents were females, implying that males were the ones who actively participated in the study.

4.1.3 Level of education of respondents

Table 4.3: Level of education of respondents Level of Education Frequency Percent Below Certificate 3 3.75 Certificate 33 41.25 Diploma 37 46.25 Degree 5 6.25 Post-Graduate 2 2.50 Total 80 100.00 Source: Primary Data, 2017

The biggest percentage of respondents was diploma holders as it was revealed by 46.25% of the respondents. This was followed by 41.25% of respondents who were certificate holders, then 6.25% of the respondents were degree holders, 3.75% of respondents were below certificate holders and 2.50% of respondents were post-graduate holders.

23 4.1.4 Marital status

Table 4.4: Marital status of respondents Marital Status Frequency Percent Single 38 47.14 Married 27 34.29 Divorced 15 18.57 Total 80 100.00 Source: Primary Data, 2017

From table 4.4, it can be seen that 47.14% of respondents were single followed by 34.29% of respondents who were married whereas 18.57% of respondents had divorced. Therefore, it was indicated that respondents who were single actively participated in the study.

The next section, that is, the quantitative analysis of the data will provide greater insight into the responses to the questionnaires administered to respondents.

4.2 Reasons of unemployment among youth in Sheema District, Uganda. The study objective one was set to determine reasons of unemployment among youth in Sheema District, Uganda.

Table 4.6: Reasons of unemployment among youth in Sheema District, Uganda.

Strongly Disagree Not Agree Strongly Total Disagree Sure Agree

Youth in Sheema District do not know Freq 40 33 7 0 0 80 where to find a job % 50 41.25 8.75 0 0 100

Youth in Sheema District dislike of Freq 0 6 6 38 30 80 certain jobs % 0 7.5 7.5 47.5 37.5 100

Education of youth in Sheema District Freq 0 0 5 26 49 80 is too theoretical % 0 0 6.25 32.5 61.25 100

Youth in Sheema District have Freq 0 0 7 47 26 80 negative attitude towards work % 0 0 8.75 58.75 32.5 100

24 Employers employ relatives who are Freq 6 7 17 33 17 80 less qualified than others % 7.5 8.75 21.25 41.25 21.25 100 Youth do not have the appropriate Freq 2 4 9 31 34 80 qualifications and skills required by % 2.5 5 11.25 38.75 42.5 100 most employers.

There is too much corruption in Freq 1 2 1 1 29 37 80 Uganda that is promised funds to % 1.25 2.5 13.75 36.25 46.25 100 develop the youth do not reach

Sheema District has wrong parenting Freq 0 3 10 41 26 80 skills of youth’s parents % 0 3.75 12.5 51.25 32.5 100

A lot ofjobs in Sheema District pays Freq 0 2 7 24 47 80 little or no payment to youth % 0 2.5 8.75 30 58.75 100

In Sheema District, there is too much Freq 2 7 9 45 17 80 racism when giving jobs. % 2.5 8.75 11.25 56.25 21.25 100

Youth in Sheerna District are un Freq 10 6 3 35 26 80 employed due to unserious job offers % 12.5 7.5 3.75 43.75 32.5 100

Poor background of a lot of youth Freq 6 7 17 33 17 80 makes it more difficult for youth to % 7.5 8.75 21.25 41.25 21.25 100 succeed in Sheema District

Youth in Sheema District has a bad Freq 5 2 9 30 34 80 reputation amongst employers % 6.25 2.5 11.25 37.5 42.5 100

Youth in Sheerna District are Freq 3 2 1 1 29 35 80 influenced by negative group pressure % 3.75 2.5 13.75 36.25 43.75 100

The economy of Uganda is not Freq 10 2 10 31 27 80 performing well towards youth % 12.5 2.5 12.5 38.75 33.75 100 employment

25 Most youth in Sheema District take drugs and alcohol

Source: Primary Data, 2017

From table 4.6, it was found out that the majority of the respondents, that is, 50.00% in this study strongly disagreed that youth in Sheema District do not know where to find a job. 4 1.25% of respondents disagreed with this view and 8.75% of respondents were not sure whereas 0% number of respondents neither agreed nor strongly agreed, implying that the youth in Sheerna District know where to find a job.

The findings illustrated in table 4.6indicate that the majority of the respondents, that is, 47.50% agreed that youth in Sheema District dislike of certain jobs. 37.50% of the respondents strongly agreed while 7.5 0% of respondents were not sure and none of respondents strongly disagreed, implying that youth in Sheema District dislike of certain jobs.

From table 4.6, the majority of the respondents, that is, 61.25% in this study strongly agreed that the education of youth in Sheema District is too theoretical. This was followed by 32.50% of respondents who agreed, 6.25% were not sure and none of respondents strongly disagreed or disagreed, implying that the education of youth in Sheema District is too theoretical.

According to table 4.6, 58.75% of respondents agreed that youth in Sheema District have negative attitude towards work. While 32.50% of respondents strongly agreed and 8.75%, 0% and 0% number of respondents were not sure, disagreeing and strongly disagreeing with this opinion respectively, implying that youth in Sheema District have negative attitude towards work.

As can be seen in table 4.6, 41.25% of respondents agreed that employers employ relatives who are less qualified than others. 2 1.25% of respondents strongly agreed and the same percentage were for respondents who were not sure. 8.75% and 7.50% of respondents disagreed and strongly disagreed with this statement respectively. This implies that employers employ relatives who are less qualified than others.

From table 4.6, it can be seen that 42.50% strongly agreed that youth do not have the appropriate qualifications and skills required by most employers. While 38.75% of the respondents agreed to this opinion. 11.25% of respondents were not sure, 5.0% disagreed and

26 2.50% of respondents strongly agreed. This implies that youth do not have the appropriate qualifications and skills required by most employers.

The results displayed in table 4.6 indicate that the majority of the respondents, that is, 3 6.25% and 46.25%, in this study, respectively agreed or strongly agreed that there is too much corruption in Uganda that is promised funds to develop the youth do not reach. 13.75% were not sure and 2.5% disagreed with this whereas 1.25% strongly disagreed, implying that there is too much corruption in Uganda that is promised funds to develop the youth do not reach.

According to table 4.6, 51.25% and 32.5% of the respondents in this study respectively agreed and strongly agreed that Sheema District has wrong parenting skills of youth’s parents. 12.50% of respondents were not sure and 3.75% disagreed, None of respondents strongly disagreed. This implies that Sheema District has wrong parenting skills of youth’s parents.

Table 4.6 indicate that 58.75% of respondents strongly agreed that a lot of jobs in Sheema District pays little or no payment to youth while 30.00% of respondents agreed. 8.75% of respondents were not sure and 2.5% disagreed with this. none of respondents strongly disagreed. this implies that a lot ofjobs in Sheema District pays little or no payment to youth.

As illustrated in table 4.6, 5 6.25% of respondents agreed that in Sheema District, there is too much racism when giving jobs. This was so high as compared to 21.25%, 11.25%, 8.75% and 2.5% of respondents who strongly agreed, not sure, disagreed and strongly disagreed with this respectively. This implies that in Sheema District, there is too much racism when giving jobs.

According to table 4.6, 43.75% of respondents agreed that youth in Sheema District are un employed due to unserious job offers. While 32.5% of respondents strongly agreed and 3.75%, 7.5% and 12.5% of respondents were not sure, disagreeing and strongly disagreeing with this opinion respectively, implying that youth in Sheema District are un employed due to unserious job offers.

As can be seen in table 4.6, 41.25% of respondents agreed that poor background of a lot of youth makes it more difficult for youth to succeed in Sheema District. 21.25% of respondents strongly agreed and the same percentage were for respondents who were not sure. 8.75% and 7.5% of respondents disagreed and strongly disagreed with this statement respectively. this implies that poor background of a lot of youth makes it more difficult for youth to succeed in Sheema District. 27 From table 4.6, it can be seen that 42.5% strongly agreed that youth in Sheema District has a bad reputation amongst employers. Whereas 37.5% agreed and 11.25% of respondents were not sure, 2.5% disagreed and 6.25% of respondents strongly disagreed. This implies that youth in Sheema District has a bad reputation amongst employers.

The results displayed in table 4.6 indicate that the majority of the respondents, that is, 36.25% and 43.75%, in this study, respectively agreed or strongly agreed that youth in Sheema District are influenced by negative group pressure. 13.75% were not sure and 2.5% disagreed with this whereas 3.75% strongly disagreed, implying that youth in Sheema District are influenced by negative group pressure.

According to table 4.6, 38.75% and 33.75% of the respondents in this study respectively agreed and strongly agreed that the economy of Uganda is not performing well towards youth employment. 12.5% of respondents were not sure and 2.5% disagreed. 12.5% of respondents strongly disagreed. This implies that the economy of Uganda is not performing well towards youth employment.

Table 4.6 indicate that 43.75% of respondents strongly agreed that most youth in Sheema District take drugs and alcohol. while 30% of respondents agreed. Whereas 10%, 8.57% and 7.5% of respondents were not sure, disagreed and strongly disagreed with this respectively. this implies that most youth in Sheema District take drugs and alcohol.

4.3 Impact of unemployment among youth in Sheema District, Uganda.

Table 4.7: Impact of unemployment among youth in Sheema District, Uganda. Strongly Disagree Not Agree Strongly Total Disagree Sure Agree Being unemployed for a longer time Freq 3 8 16 34 19 80 at a young age leads to a lack of work % 3.75 10 20 42.5 23.75 100 experience and skills Unemployment among youth leads to Freq 3 5 15 46 1 1 80 reduced earnings over the whole % 3.75 6.25 18.75 57.5 13.75 100 career of a person. Youth unemployment affects the Freq 7 6 13 41 13 80 economic development of the country % 8.75 7.5 16.25 51.25 16.25 100 Youth unemployment creates Freq 0 9 2 15 54 80

28 additional costs for the government % 0 11.25 2.5 18.75 67.5 100 Unemployment among youth leads to Freq 5 13 7 33 22 80 creation of crime rates % 6.25 16.25 8.75 41.25 27.5 100 Youth unemployment affects political Freq 0 10 2 27 41 80 stability of a country % 0 12.5 2.5 33.75 51.25 100 Unemployment among youth leads to Freq 0 18 1 25 36 80 crime and violence amongst youth % 0 22.5 1.25 31.25 45 100 Unemployment among youth leads to Freq 0 6 3 29 42 80 commercial sex work % 0 7.5 3.75 36.25 52.5 100 Unemployment among youth leads to Freq 3 5 0 32 40 80 the spread of HIV/AIDS % 3.75 6.25 0 40 50 100 Unemployment among youth leads to Freq 3 3 0 23 51 80 drug abuse and civil disorder % 3.75 3.75 0 28.75 63.75 100 Source: Primary Data, 2017

From table 4.7, it can be seen that 42.5% of respondents agreed that being unemployed for a longer time at a young age leads to a lack of work experience and skills. 23.75% of respondents strongly agreed while 20% of respondents were not sure, 10% disagreed and 3.75% of respondents strongly disagreed with this view implying that being unemployed for a longer time at a young age leads to a lack of work experience and skills.

From Table 4.7, majority of respondents indicated by 57.5% agreed that unemployment among youth leads to reduced earnings over the whole career of a person. This was compared with 13.75% of respondents who strongly agreed, 18.57% were not sure, 6.25% disagreed and 3.75% strongly disagreed with this view. This implies that unemployment among youth leads to reduced earnings over the whole career of a person.

In table 4.7, 5 1.25% of respondents agreed that youth unemployment affects the economic development of the country. 16.25% of respondents both strongly agreed and were not sure while 8.75% of respondents strongly disagreed. Only 7.5% disagreed with this view. Thus, this implies that youth unemployment affects the economic development of the country.

As can be observed from table 4.7, 67.5% of respondents strongly agreed that youth unemployment creates additional costs for the government. 18.75% of respondents agreed but 11.25% of respondents disagreed whereas 2.5% of respondents were not sure. This implies that youth unemployment creates additional costs for the government. 29 From table 4.7, it was found out that 41.25% of respondents agreed that unemployment among youth leads to creation of crime rates. Whereas 27.5% of respondents strongly agreed, 16.25% disagreed with this view, 8.57% were not sure and only 6.25% of respondents strongly disagreed. Thus this implies that unemployment among youth leads to creation of crime rates.

From table 4.7, it can be observed that 51.25% of respondents strongly agreed that youth unemployment affects political stability of a country. Also this was complimented by 3 3.75% of respondents who agreed with this view. Only 12.5% of respondents disagreed, implying that youth unemployment affects political stability of a country.

In table 4.7, it is clear that 45% of respondents strongly agreed that unemployment among youth leads to crime and violence amongst youth. Also 31.25% agreed with this view though 22.5% of respondents disagreed. This strongly showed that unemployment among youth leads to crime and violence amongst youth.

In table 4.7, it is clear that 52.5% of respondents strongly agreed that unemployment among youth leads to commercial sex work. furthermore, this was supplemented by 36.25% of respondents who agreed with the same view implying that, unemployment among youth leads to commercial sex work,

In table 4.7, it is clear that 50% of respondents strongly agreed that unemployment among youth leads to the spread of HIV/AIDS. A view that was supplemented by 40% of respondents agreeing with the same though 6.25% disagreed, 3.75% of respondents strongly disagreed, implying that unemployment among youth leads to the spread of HIV/AIDS.

From table 4.7, it can be seen that 63.75% of the respondents strongly agreed that unemployment among youth leads to drug abuse and civil disorder. This was also supplemented by 28.75% of the respondents who agreed implying that unemployment among youth leads to drug abuse and civil disorder.

4.4 Ways of solving youth unemployment in Sheema District, Uganda Table 4.8: Ways of solving youth unemployment in Sheema District, Uganda Strongly Disagree Not Agree Strongly Total Disagree Sure Agree The government should create Freq 3 2 1 1 29 35 80 more industries % 3.75 2.5 13.75 36.25 43.75 100

30 Education system to be changed Freq 10 2 10 31 27 80 from theoretical to more practical % 12.5 2.5 12.5 38.75 33.75 100 Youth should get a chance to get Freq 6 7 8 24 35 80 some experience in % 7.5 8.75 10 30 43.75 100 entrepreneurship Government should give training Freq 8 7 1 1 24 30 80 to youth and encourage them to

. . % 10 8.75 13.75 30 37.5 100 work for their own businesses to become successful Parents should teach their Freq 3 8 16 34 19 80 children how to work and how to % 3.75 10 20 42.5 23.75 100 do business Government should make it easier Freq 3 5 15 46 1 1 80 to allocate jobs outside of Uganda % 3.75 6.25 18.75 57.5 13.75 100 Source: Primary Data, 2017

The results displayed in table 4.8 indicate that the majority of the respondents, that is, 36.25% and 43.75%, in this study, respectively agreed or strongly agreed that the government should create more industries. 13.75% were not sure and 2.5% disagreed with this whereas 3.75% strongly disagreed, implying that the government should create more industries.

According to table 4.8, 38.75% and 33.75% of respondents agreed and strongly agreed respectively that education system to be changed from theoretical to more practical. 12.5% of respondents were not sure and 2.5% disagreed. 12.5% of respondents strongly disagreed. This implies that education system to be changed from theoretical to more practical.

Table 4.8 indicate that 43.75% of respondents strongly agreed that youth should get a chance to get some experience in entrepreneurship. While 30% of respondents agreed. Whereas 10%, 8.57% and 7.5% of respondents were not sure, disagreed and strongly disagreed with this respectively. This implies that youth should get a chance to get some experience in entrepreneurship.

As illustrated in table 4.8, 37.5% of respondents strongly agreed that government should give training to youth and encourage them to work for their own businesses to become successful. This was so high as compared to 30%, 13.75%, 8.75% and 10% of respondents who strongly agreed, not sure, disagreed and strongly disagreed with this respectively. This implies that

31 government should give training to youth and encourage them to work for their own businesses to become successful.

From table 4.8, it can be seen that 42.5% of respondents agreed that parents should teach their children how to work and how to do business. 23.75% of respondents strongly agreed while 20% of respondents were not sure, 10% disagreed and 3.75% of respondents strongly disagreed with this view implying that parents should teach their children how to work and how to do business.

From Table 4.8, majority of respondents indicated by 57.5% agreed that government should make it easier to allocate jobs outside of Uganda. This was compared with 13.75% of respondents who strongly agreed, 18.57% were not sure, 6.25% disagreed and 3.75% strongly disagreed with this view. This implies that government should make it easier to allocate jobs outside of Uganda.

32 CHAPTER FIVE

SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS

5.0 Introduction Under this chapter the researcher discussed and gave conclusion to the major findings of the study, in light of the objectives and research questions. The researcher also presented some recommendations for causes of unemployment among youth in Uganda. The recommendations will suggest some areas that need further study.

5.1 Summary of findings

5.1.1 Reasons of unemployment among youth in Sheema District, Uganda It was found out that youth in Sheema District know where to find a job. This was indicated by the majority, 50% who strongly disagreed that youth in Sheema District do not know where to find a job. Furthermore, 4 1.25% of respondents disagreed with this view. This was in accordance with the view of African Economic Outlook (2012) who stressed that there is a lack of information flow between the job seekers and hiring employers in a lot of African countries. African Economic Outlook (2012) further stressed that is especially apparent for youth with little education as they seem to know less about where to look for jobs and therefore need more help finding one.

It was further revealed that youth in Sheema District dislike of certain jobs. This was indicated by the majority47.50% who agreed that youth in Sheema District dislike of certain jobs. This was more explained by YAI (201) and YBU (2014), who contend that youth become too picky regarding certain jobs. They all want to work in offices to avoid hard physical labour. youth are looking for quick money without making an effort which is why they are turning towards sports betting, which is a huge social problem in Uganda.

It was revealed that education of youth in Sheema District is too theoretical. This was indicated by the majority 6 1.25% whostrongly agreed that the Education of youth in Sheema District is too theoretical. This well complimented by ILO (2012) who contend that in Ugandan (or more general the “African”) school system is far too theoretical and is not preparing the students in an adequate way to find a job after graduation as they lack employable skills, even though the job falls into their field of studies.

It was revealed that youth in Sheema District have negative attitude towards work. This was indicated by the majority 58.75% of respondents agreed that youth in Sheema District have 33 negative attitude towards work. This was well brought out by YAI (2011) and YBU (2014) who stressed that very often youth have a negative attitude towards work, which expresses itself in general laziness (to find a job and to work), a lack of motivation to work, a lack of ambition and self-drive to achieve something and the lack of a clear vision for life.

It was revealed that employers employ relatives who are less qualified than others. This was indicated by the majority 41.25% of respondents agreed that employers employ relatives who are less qualified than others. This was in accordance with Osalor (2011), who posited that somebody gets employed, even though the person was not the most suitable for the position due to nepotism. Thus nepotism has an indirect effect on youth unemployment as it discourages a lot of youth to look for jobs, therefore keeping them unemployed.

It was revealed that youth do not have the appropriate qualifications and skills required by most employers. This was indicated by the majority 42.50% who strongly agreed that youth do not have the appropriate qualifications and skills required by most employers. It was further revealed that there is too much corruption in Uganda that is promised funds to develop the youth do not reach. This was indicated by the majority 36.25% and 46.25%, who respectively agreed or strongly agreed that there is too much corruption in Uganda that is promised funds to develop the youth do not reach. This was well brought out by Transparency International (2014) was another sign that corruption is highly present in Uganda. This incident also had serious financial consequences for the government’s development programs, as several big donor countries (amongst others the UK, Denmark, Ireland and Norway) had suspended their development aid payments to Uganda completely because of this incident (Al Jazeera, 2012).

It was revealed that Sheema District has wrong parenting skills of youth’s parents. This was indicated by the majority5 1.25% and 32.5% of the respondents who respectively agreed and strongly agreed that Sheema District has wrong parenting skills of youth’s parents. This complimented by Fontes Foundation (2014) who posited that lack of parental guidance (both in relation to a youth’s career but also in general) has been mentioned as important reason for youth unemployment as a lot of Ugandan parents produce too many children so that they cannot properly take care of them, especially when it comes to paying the fees for education.

It was revealed that a lot of jobs in Sheema District pays little or no payment to youth. This was indicated by the majority 58.75% of respondents who strongly agreed that a lot ofjobs in Sheema District pays little or no payment to youth. Further, it was revealed that

34 inSheemaDistrict, there is too much racism when giving jobs. This was indicated by the majorityinSheema District, there is too much racism when giving jobs. In addition, it was revealed that youth in Sheema District are un employed due to unserious job offers. This was indicated by the majority43.75% of respondents agreed that youth in Sheema District are un employed due to unserious job offers.

It was revealed that poor background of a lot of youth makes it more difficult for youth to succeed in Sheema District. This was indicated by the majority4 1.25% of respondents agreed that poor background of a lot of youth makes it more difficult for youth to succeed in Sheema District. This was in line with ILO (2012) who contend that those findings match the current situation of youth in Uganda, especially the disadvantaged ones coming from a poor background who have weaker access to job networks and social capital.

It was revealed that youth in Sheema District has a bad reputation amongst employers. This was indicated by the majority 42.5% strongly agreed that youth in Sheema District has a bad reputation amongst employers. In addition, it was revealed that youth in Sheema District are influenced by negative group pressure. This was indicated by the majority36.25% and 43.75%, in this study, respectively agreed or strongly agreed that youth in Sheema District are influenced by negative group pressure. This is due to tribalism whereby youth without important social connections will get discouraged after too many negative experiences to apply for further jobs as they get the impression that all employers are the same (International Youth Foundation, 2011).

It was revealed that the economy of Uganda is not performing well towards youth employment. This was indicated by the majority38.75% and 3 3.75% of the respondents who respectively agreed and strongly agreed that the economy of Uganda is not performing well towards youth employment. This this compared well with Ali et al., (2013) who argued that the growing percentage of people in a population looking for a job has to be absorbed by the economy of the country, meaning that the economy has to grow fast enough to create enough jobs for all those new job seekers.

Furthermore, it was revealed that most youth in Sheema District take drugs and alcohol. This was indicated by the majority 43.75% of respondents strongly agreed that most youth in Sheema District take drugs and alcohol.

35 5.1.2 Impact of unemployment among youth in Sheema District, Uganda It was revealed that being unemployed for a longer time at a young age leads to a lack of work experience and skills. This was indicated by the majority42.5% of respondents agreed that being unemployed for a longer time at a young age leads to a lack of work experience and skills. This was in accordance with Sarah Ayres (2013), youth unemployment creates negative long term effects for both the individual youth as well as for a country as a whole because being unemployed for a longer time at a young age leads to a lack of work experience and skills gathering during this time.

It was revealed that unemployment among youth leads to reduced earnings over the whole career of a person. This was indicated by the majority57.5% agreed that unemployment among youth leads to reduced earnings over the whole career of a person. In addition to the above, also it was further supported by Sarah Ayres (2013) being unemployed for a longer time at a young age leads to a lack of work experience and skills gathering during this time which will lead to reduced earnings over the whole career of a person.

It was revealed that youth unemployment affects the economic development of the country. This was indicated by the majorityyouth unemployment affects the economic development of the country. This was well tackled by Ayres (2013) who posited that in Uganda, large number of youth and large youth unemployment have strong negative effects on the economic development of the country in the short, middle and long run.

It was revealed that youth unemployment creates additional costs for the government. This was indicated by the majority67.5% of respondents strongly agreed that youth unemployment creates additional costs for the government. In addition to this it was revealed that unemployment among youth leads to creation of crime rates. This was indicated by the majority unemployment among youth leads to creation of crime rates. All these views were in accordance to Ayres (2013) who posited that youth unemployment also creates additional costs for the government as it has to deal with consequences of youth unemployment like increased crime rates or increased welfare payments.

It was revealed that youth unemployment affects political stability of a country. This was indicated by the majority 51.25% of respondents strongly agreed that youth unemployment affects political stability of a country. This was in line with Azeng&Yogo (2013) who concluded that youth unemployment has a significant negative effect on the political stability in countries, especially developing countries.

36 It was revealed that unemployment among youth leads to crime and violence amongst youth. This was indicated by the majority 45% of respondents strongly agreed that unemployment among youth leads to crime and violence amongst youth. Also it was revealed that Unemployment among youth leads to commercial sex work. This was indicated by the majority 52.5% of respondents strongly agreed that unemployment among youth leads to commercial sex work.

Furthermore, it was revealed that unemployment among youth leads to the spread of HIV/AIDS. This was indicated by the majority 50% of respondents strongly agreed that unemployment among youth leads to the spread of HIV/AIDS. It was further revealed that unemployment among youth leads to drug abuse and civil disorder. This was indicated by the majority 63.75% of the respondents strongly agreed that unemployment among youth leads to drug abuse and civil disorder. These views were supplemented by East African Community (2015) who posited that a number of negative effects of youth unemployment include Crime and violence amongst youth, commercial sex work and as a result of that, the spread of HIV/AIDS, drug abuse and civil disorder are direct consequences of the youth unemployment all over Sub-Saharan Africa.

5.1.3 Ways of solving youth unemployment in Sheema District, Uganda It was revealed that the government should create more industries. This was indicated by the majority, 36.25% and 43.75%, who respectively agreed or strongly agreed that the government should create more industries. It was further revealed that education system to be changed from theoretical to more practical. This was indicated by the majority 3 8.75% and 3 3.75% of respondents who agreed and strongly agreed respectively that education system to be changed from theoretical to more practical. This was in line with the view of Maria Kiwanuka (2011), who stressed that in a bid to reduce youth unemployment, Ministry of Education will review the education curriculum and include entrepreneurship and basic business management skills in the early years of education.

It was revealed that youth should get a chance to get some experience in entrepreneurship. This was indicated by the majority43.75% of respondents strongly agreed that youth should get a chance to get some experience in entrepreneurship. This was in accordance with Sharon Nakandha (2011) who suggested that Uganda need a comprehensive solution to unemployment. She appreciates government’s efforts in dealing with the problem of youth unemployment like introduction of the Youth Entrepreneurship Venture Capital Fund

37 (YEVCF) and assistance to run a Youth Entrepreneurial Training Programmes (YETP) among the youth.

It was revealed that government should give training to youth and encourage them to work for their own businesses to become successful. This was indicated by the majority 37.5% of respondents strongly agreed that government should give training to youth and encourage them to work for their own businesses to become successful. This was in line with World Employment Forum (2013) who recommended that special emphasis should be placed on developing skills, education development and employment of youths by integrating them into the economic and civic life of that country particularly Uganda.

It was revealed that parents should teach their children how to work and how to do business. This was indicated by the majority42.5% of respondents agreed that parents should teach their children how to work and how to do business. In addition, it was revealed that government should make it easier to allocate jobs outside of Uganda. This was indicated by the majority 57.5% agreed that government should make it easier to allocate jobs outside of Uganda.

5.2 Conclusions of the study The main purpose of the research was to establish the causes of unemployment among youth in Sheema District, Uganda and the results showed that unemployment among youth in Sheema District is as a result of rural-urban migration, skill mismatch between the education system and employers’ expectations; lack of entrepreneurship and management skills; limited access to financial capital; inadequate job matching; demographic development and population growth; lack of parental guidance and career guidance at school; corruption, nepotism and tribalism and negative attitude of youth. In other words, people living on the country side are trying to escape the lower standard of living in rural areas to find employment and a better life in urban centres. This then leads to an over-supply of labour on the job market in urban areas. Also the mismatch between the type of education provided at schools and the requirements of the labour market leads to unemployment. In addition, majority of entrepreneurs in Africa thinks that there is an inadequate focus within schools and tertiary institutions on the practical skills required to start, manage or work in entrepreneurial ventures, an issue that have increased unemployment. Also there is a lack of information flow between the job seekers and hiring employers in a lot of African countries. Furthermore, the lack of parental guidance (both in relation to a youth’s career but also in general) has led to youth unemployment. Also corruption is highly present in Uganda and this incident also had 38 serious financial consequences for the government’s development programs particularly for youth and finally youth have a negative attitude towards work which expresses itself in general laziness. Therefore, all the above have been found to cause unemployment among youth in Uganda.

5.3 Recommendations Different reasons of unemployment seem to affect different districts in Uganda and it is therefore recommended to consider the following;

ILO member states shouldplace much emphasis on developing skills, education development and employment of youths and women and on integrating them into the economic and civic life of that country

Government and other stakeholders should put up a strong accountability mechanism to ensure that the funds allocated to reducing youth unemployment in the country actually serve this purpose.

Youth unemployment schemes should not be politicized with some government programmes

The government should encourage youth not to get involved in certain habits like gambling in Uganda.

The education system has to be changed from theoretical to more practical.

The government should make it easier to allocate jobs outside of Uganda.

5.4 Areas for future research This study has proven that unemployment affects youth due to different reasons. Therefore, it is suggested that future research be carried out on the impact of youth unemployment and economic growth and effect of youth unemployment and poverty reduction.

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44 APPENDICES

APPENDIX A

SELF ADMINISTERED QUESTIONNAIRE Dear Respondents;

I Namata Mariat, a student of Kampala international University of Humanities and Social Sciences finalizing my Degree in Bachelor’s Degree in Social Work and Social Administration. As part of my requirement for the Degree award, I have to present a research report. The study is on unemployment and socio-economic growth among youth in local governments in Uganda: A Case Study of Sheema district.

I am now on my field part of collecting information for my research report and you are being requested to respond to the various questions in the questionnaire attached, This interview will be treated with the strictest confidentiality. It would therefore be greatly appreciated if you would answer all questions in a fair and open manner. The information gathered from this questionnaire will be used purely for research purposes. Thank you for taking the time and effort to complete this questionnaire. Your cooperation is greatly appreciated. Your participation is voluntary and you may withdraw from the survey at any stage. I shall be grateful for your cooperation in this regard.

Thank you.

Namata Mariat (Candidate)

SECTION A: BIO DATA

Please place a tick (~1) in the block that applies to you.

1. AGE ______

Under 20 ____ 21-30 I____ 31-40 I 41-50 51-60 61 and Abovel I 2. GENDER Male I Female I 3. MARITAL STATUS

Single I I Married ______Divorcedl I 4. HIGHEST EDUCATION LEVEL Below Certificate I Certificate I

45 Diploma ______Degree j 7

Post-Graduate Qualification ______Other (Specify)

5. Did you do practical subjects ______

Yes ______No I 6. I prefer job employment that is

Formal ______Informal ______I Please indicate the extent to which you disagree or agree with each of the following statements. Please indicate your preference by marking with a tick (‘1) in the appropriate block provided. 1 Strongly Disagree SD 2 Disagree D 3 Not Sure N 4 Agree A 5 Strongly Agree SA

SECTION B: Reasons for youth unemployment in Uganda

J~ QUESTION SD D NS A SA 1. Youth in Sheema district do not know where to find ajob 2. Youth in Sheema district dislike of certain jobs 3. Education of youth in Sheema district is too theoretical 4. Youth in Sheema district have negative attitude towards work 5. Employers employ relatives who are less qualified than others 6. 1 do not have the appropriate qualifications and skills required by most employers 7. There is too strict parental control of childrenlwrong career guidance in Sheema district 8. Female youth are scared away from working due to sexual harassment in a lot ofjobs 9. There is a growing population increase in Sheema district 10. There is too much corruption in Uganda that is promised funds to develop the youth do not reach

46 1 1. Sheema district has wrong parenting skills of youth’s parents 12. A lot ofjobs in Sheema district pays little or no payment to youth 13. In Sheema district, there is too much racism when giving jobs. 14. Youth in Sheema district are un employed due to unserious job offers 15. Poor background of a lot of youth makes it more difficult for youth to succeed in Sheema district 16. Youth in Sheema district has a bad reputation amongst employers 17. Youth in Sheema district are influenced by negative group pressure 18. The economy of Uganda is not performing well towards youth employment 19. Most youth in Sheema district take drugs and alcohol

SECTION C: Impact of youth unemployment

J~ QUESTION SD B NS A SA 1 Being unemployed for a longer time at a young age leads to a lack of work experience and skills 2 Unemployment among youth leads to reduced earnings over the whole career of a person. 3 Youth unemployment affects the economic development of the country 4 Youth unemployment creates additional costs for the government 5 Unemployment among youth leads to creation of crime rates 6 Youth unemployment affects political stability of a country 7 Unemployment among youth leads to Crime and violence amongst youth 8 Unemployment among youth leads to commercial sex work 9 Unemployment among youth leads to the spread of HIV/AIDS 10 Unemployment among youth leads to drug abuse and civil disorder

“Thank youfor taking the time and effort to complete this questionnaire” 47 APPENDIX B

INTERVIEW GUIDE Dear Respondents;

I Namata Mariat, a student of Kampala international University of Humanities and Social Sciences finalizing my Degree in Bachelor’s Degree in Social Work and Social Administration. As part of my requirement for the Degree award, I have to present a research report. The study is on unemployment and socio-economic growth among youth in local governments in Uganda: A Case Study of Sheema district.

I am now on my field part of collecting information for my research report and you are being requested to respond to the various questions in the questionnaire attached. This interview will be treated with the strictest confidentiality. It would therefore be greatly appreciated if you would answer all questions in a fair and open manner. The information gathered from this questionnaire will be used purely for research purposes. Thank you for taking the time and effort to complete this questionnaire. Your cooperation is greatly appreciated. Your participation is voluntary and you may withdraw from the survey at any stage. I shall be grateful for your cooperation in this regard.

Thank you.

Namata Mariat (Candidate)

a) In your opinion, which kind of skills did you lack to become successful in your professional life b) What are the main reasons for youth unemployment in Uganda, particularly Sheema district according to you? c) How can those causes for youth unemployment be mitigated/fought? d) Which actors should be involved to fight youth unemployment in Uganda? e) Which additional costs does youth unemployment create for the government

“Thank youfor taking the time and effort to complete this questionnaire”

48 APPENDIX C

ACTUAL STUDY BUDGET Item Quality/Quantity Unit Cost Total Cost Proposal Writing Stationary Ruled paper 2 reams 10,000= 20,000= Note book 4 2,500 10,000 Printing 37 pages 500= 18,500= Photocopying 20 pages 100= 2,000= Pens 1 box 3,000= 3,000= Box file 2 5,000= 10,000= Clip board 2 3,500= 7,000= Sub Total 70,500= Data Collection Allowance 6 days 20,000= 120,000= Sub Total 188,000= Data Analysis Transcription 6 days 20,000= 120,000= allowance Analysis allowance 6 days 20,000= 120,000= Sub Total 240,000= Report Writing Secretarial services Typing 64 pages 500 per page 32,000= Printing 64 pages 100 per page 6,400= Photocopying 50 pages 100 per page 5,000= Binding 4 books 20,000= each 80,000= Sub Total 123,400=

49 rn ~i A iAf~ A i A Ggaba Road, Kansanga* P0 BOX 20000 Kampala, Uganda rPdv~rI4L.~~~ Tel: +256 (0) 382 277 030* Fax: +256(0)41 - 501 974

~NTERNAT~ONAL E-mail: ~dmin®kiU.aC.Ug * Website: http://wwW.kiU.aC.lJg

OJfi.~e ofthe Head ofDepartment

Augustl0,2017

Dear Sir/Madam,

RE: INTRODUCTION LETTER FOR NAMATA MARIAT REG NO. BSW/45113/143IDU.

The above mentioned candidate is a bonafide student of Kampala International University pursuing a Bachelors Degree in Social Work and Social Administration.

She is currently conducting a field research for her dissertation entitled, “UNEMPLOYMENT AN~J SOCIO~ECONOMIC GROWTH AMONG YOUTH IN LOCAL GOVERNMENTS IN UGANDA, A CASE STUDY OF SHEEMA DISTRICT.” Your organisation has been identified as a valuable source of information pertaining to her research project. The purpose of this letter then is to request you to accept and avail her with the pertin~nt information she may need.

Any data shared with her will be used for academic purposes only and shall be kept with utmost confidentiality.

“Exploring the Heights”